Chang-Hung Hsu
Papers
1
Total Citations
13
H-Index
1
About
Chang-Hung Hsu is a leading researcher in electromechanical integration, industrial IoT, and intelligent control systems, with a focus on creating cost-effective, high-efficiency solutions for smart manufacturing. His most cited work, "Low-Cost and High-Efficiency Electromechanical Integration for Smart Factories of IoT with CNN and FOPID Controller Design under the Impact of COVID-19," addresses critical challenges in modern industry by proposing an ultra-low-cost IoT architecture for unmanned chemical factories. This study introduces a novel three-layer blockchain-secured network that integrates convolutional neural networks (CNN) for real-time monitoring and a fractional-order proportional-integral-derivative (FOPID) controller for precise automation—a response to pandemic-driven labor shortages. With 13 citations, this work demonstrates Hsu’s ability to merge practical engineering with advanced AI and control theory. His contributions are particularly notable for their emphasis on affordability and security, making smart factory technology accessible while ensuring data integrity through blockchain. Hsu’s research stands out for its timely relevance, directly addressing the COVID-19 crisis’s impact on industrial operations, and offers a scalable blueprint for resilient, autonomous production systems.
Research Focus
Key Achievements
Top Papers
- 1